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Stereo matching using M-estimators

  • Christian Menard
  • Aleš Leonardis
Stereo and Correspondence
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

Stereo computation is just one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results that cannot be corrected in subsequent processing stages. In this work the standard area-based correlation approach is modified so that it can tolerate a significant number of outliers. The approach exhibits a robust behaviour not only in the presence of mismatches but also in the case of depth discontinuities. Experimental results are given on synthetic and real images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Christian Menard
    • 1
  • Aleš Leonardis
    • 1
    • 2
  1. 1.Pattern Recognition and Image Processing GroupVienna University of TechnologyViennaAustria
  2. 2.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljana

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